Human understanding of #AI can't keep up with its advancement, researchers say
by Krystal Kasal @TechXplore_com Learn more: https://
bit.ly/3Sn3Xm9 #ArtificialIntelligence #MachineLearning #ML
TECHNOLOGY
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AI outpaces human understanding, researchers warn
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Traditional ML background irrelevant for modern deep learning systems
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endlessly fascinating how a traditional machine learning background is basically not that helpful for modern AI. we use deep NNs and do SGD with one of two losses. most day-to-day work lies in abstractions *on top* of this layer. everything is really just a massive system of
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From Reactive AI to Agentic Partners: Intelligent Systems That Sense, Act, Collaborate
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From Reactive #AI to Agentic Partners: Intelligent Systems That Sense, Act, and Collaborate
— Ronald van Loon (@Ronald_vanLoon) 17 juin 2026
by @tuyasmart#ArtificialIntelligence #Robotics #Innovation #TechForGood #EmergingTech pic.twitter.com/j11YjTb0YuFrom Reactive #AI to Agentic Partners: Intelligent Systems That Sense, Act, and Collaborate
by @tuyasmart #ArtificialIntelligence #Robotics #Innovation #TechForGood #EmergingTech -
Seedance 2.0 Shows How Far AI Video Has Come
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Seedance 2.0 Shows How Far AI Has Come https://
youtu.be/6n9fjS0of5o?si
=OAas0qmRSQUYbmxr
… via @YouTube #seedance #artificialintelligence #AI #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #AIartist #AIvideo #video @SpirosMargaris -
Humanoid robot football match showcases embodied AI advances
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Humanoid robot football match showcases advances in embodied AI https://
youtu.be/fajs4WznfpU?si
=XHO1SpPhSHZXY8ww
… via @YouTube #football #soccer #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @AlbertoEMachado @Eli_Krumova @postoff25 -
DeepSeek rewires residual connections that power AI
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DeepSeek Is Rewiring the Residual Connections That Still Power AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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Switched model for website rebuild, saving 11x token costs
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Fuck Fable I have just swapped the model I am using for rebuilding the godofprompt website saving 11x on the token costs!
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MaineCoon Technical Report Released on GitHub
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paper >
https://
github.com/catnip-ai-tech
/MaineCoon/blob/main/MaineCoon_Technical_Report.pdf
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GLM-5.2 open-source model matches Claude Opus 4.8
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@ZAI_ORG JUST DROPPED GLM-5.2, AND IT IS PUNCHING RIGHT AT THE LEVEL OF CLAUDE OPUS 4.8 The kicker? It’s a 753B parameter model with a true 1M-token context, released fully open-source under an MIT license What makes this release technically interesting: → IndexShare
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GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining
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Correction: GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining at 512 GPU scale. (Ref: results 6.0-0022 and 6.0-0101)